PS-InSAR技术对上海高架路的沉降监测与归因分析

王茹, 杨天亮, 杨梦诗, 廖明生, 林金鑫, 张路

王茹, 杨天亮, 杨梦诗, 廖明生, 林金鑫, 张路. PS-InSAR技术对上海高架路的沉降监测与归因分析[J]. 武汉大学学报 ( 信息科学版), 2018, 43(12): 2050-2057. DOI: 10.13203/j.whugis20180150
引用本文: 王茹, 杨天亮, 杨梦诗, 廖明生, 林金鑫, 张路. PS-InSAR技术对上海高架路的沉降监测与归因分析[J]. 武汉大学学报 ( 信息科学版), 2018, 43(12): 2050-2057. DOI: 10.13203/j.whugis20180150
WANG Ru, YANG Tianliang, YANG Mengshi, LIAO Mingsheng, LIN Jinxin, ZHANG Lu. Attribution Analysis on Deformation Feature of the Shanghai Elevated Highway by Persistent Scatterer SAR Interferometry[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2050-2057. DOI: 10.13203/j.whugis20180150
Citation: WANG Ru, YANG Tianliang, YANG Mengshi, LIAO Mingsheng, LIN Jinxin, ZHANG Lu. Attribution Analysis on Deformation Feature of the Shanghai Elevated Highway by Persistent Scatterer SAR Interferometry[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2050-2057. DOI: 10.13203/j.whugis20180150

PS-InSAR技术对上海高架路的沉降监测与归因分析

基金项目: 

国家自然科学基金重点项目 61331016

国家自然科学基金 41571435

详细信息
    作者简介:

    王茹, 博士生, 主要研究方向为SAR数据处理与分析。wangr2017@whu.edu.cn

    通讯作者:

    廖明生, 博士, 教授。liao@whu.edu.cn

  • 中图分类号: P237

Attribution Analysis on Deformation Feature of the Shanghai Elevated Highway by Persistent Scatterer SAR Interferometry

Funds: 

Key Project of the National Natural Science Foundation of China 61331016

the National Natural Science Foundation of China 41571435

More Information
    Author Bio:

    WANG Ru, PhD candidate, specializes in SAR data processing and analysis. E-mail:wangr2017@whu.edu.cn

    Corresponding author:

    LIAO Mingsheng, PhD, professor. E-mail:liao@whu.edu.cn

  • 摘要: 上海市高架道路是上海市重大基础设施工程之一,跨越11个行政区,打通了城市交通脉络。为保证其安全运营和可持续发展,利用高分辨率永久散射体雷达干涉测量技术对高架路进行沉降监测,沉降结果与同期水准数据基本保持一致,最大误差不超过3 mm/a。进一步联合高架路的结构特性、运营车辆的动荷载情况、高架路施工进程,分析了提取的高架路沉降的空间分布情况以及时间演化行为。多因素的归因分析结果表明,上海市高架道路沉降格局与周边区域地面沉降密切相关,同时与高架道路自身荷载和运营车辆动荷载、高架道路建成时间有关。
    Abstract: Elevated highway is one of the major infrastructures in Shanghai spanning 11 administrative regions. In order to ensure its safe operation and sustainable development, high-resolution persistent scatterer interferometric synthetic aperture radar (PS-InSAR) technology is used to monitor and analyze the displacement of the elevated highway, combining with the level data to further verify the monitoring accuracy. The settlement results are basically consistent with the leveling data, and the maximum error does not exceed 3 mm/a.The results of multi-factor attribution analysis show that the settlement pattern of elevated roads is closely related to the land subsidence in the surrounding areas, the dynamic load of the operating vehicles, and the time about elevated road was built.
  • 图  1   高架标准横断面

    Figure  1.   Standard Cross Section of Viaduct

    图  2   影像的空间覆盖范围,包括高架分布图和已知水准点位

    Figure  2.   Space Coverage of the Images, Including the Elevated Road Maps and Known Leveling Points

    图  3   高架沿线沉降速率分布图

    Figure  3.   Subsidence Velocity Map of Elevated Highway

    图  4   水准测量与InSAR监测的形变速率对比

    Figure  4.   Comparison of Deformation Rate Monitoring by Leveling and InSAR

    图  5   沉降时间序列对比图

    Figure  5.   Subsidence Time Series of Leveling Points

    图  6   高架路周边地面沉降速率图

    Figure  6.   Subsidence Velocity in the Surrounding Area Along the Elevated Roads

    图  7   上海高架道路工作日拥堵指数分布图

    (央广网,2017)

    Figure  7.   Congestion Index Distribution of Shanghai Elevated Road on Weekdays

    图  8   不同建成时间高架路沉降速率对比图

    Figure  8.   Comparison of Settlement Velocity of Elevated Highway for Different Construction Time

    图  9   不同沉降驱动因素作用图

    Figure  9.   Different Settlement Driving Factors on the Map

    图  10   不同沉降驱动组合因素比例图

    Figure  10.   Proportion Map of Different Settlement Driving Factors

    表  1   影像及干涉对信息

    Table  1   Basic Information of the Interferograms

    左实验区 右实验区
    时间 垂直基线/m 时间 垂直基线/m
    2016-10-13 -105.4 2016-10-24 182.8
    2016-11-15 -31.6 2016-11-26 101.1
    2016-12-18 83.2 2016-12-29 331.5
    2017-01-20 -57.4 2017-01-31 174.6
    2017-03-05 -132.4 2017-03-16 4.2
    2017-04-29 0 2017-04-18 0
    2017-05-21 -86.1 2017-05-10 189.1
    2017-06-12 -85.8 2017-06-01 116.2
    2017-07-04 44.8 2017-06-23 270.1
    2017-09-08 -52.4 2017-07-15 192.8
    2017-09-30 -435.1 2017-08-06 196.5
    2017-10-22 52.7 2017-10-11 -155.1
    下载: 导出CSV

    表  2   交通拥堵指数分级表[14]

    Table  2   Traffic Congestion Index Scale [14]

    项目 等级
    畅通 较畅通 拥挤 堵塞
    指数区间 [0, 30) [30, 50) [50, 70) [70, 100)
    车流现象
    下载: 导出CSV

    表  3   形变速率统计表

    Table  3   Statistics of Settlement Velocity

    形变范围/
    (mm·a-1)
    所占比例/%
    2000年前通车 2000年后通车
    -10~-5 5.58 10.23
    -5~0 35.09 43.53
    0~5 49.04 41.89
    5~10 10.29 4.35
    下载: 导出CSV
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  • 收稿日期:  2018-05-01
  • 发布日期:  2018-12-04

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